Hi, nice to meet you.

Thank you for taking the time to visit my website. I am Colombian-Spanish GIScience researcher. Currently working as research associate at The Alan Turing Institute as part of the AI for science and government (ASG) iniciative, particularly working in the Shocks and Resilience to develop spatial modelling methods that can be integrated within the epidemiologic-socio-economic models to tackle policy questions that are relevant at the national or local level.

I have a PhD in Geoinformatics (obtained in 2018) from the Universitat Jaume I - Spain, under the supervision of Dr Joaquín Huerta. In 2020, I held a research fellowship at the University of Jaume I to use machine learning techniques to characterize the urban mobility patterns in medium-size cities using remote sensing data sources. In 2019, I worked with Dr Urška Demšar as a postdoctoral researcher at the University of St Andrews - Scotland, to develop a novel data fusion method to annotate Earth’s magnetic field data from satellite and terrestrial sources to GPS trajectories - MagGeo.

Previously, I worked in the geospatial technologies sector as former development and business partner manager, and head of geographic innovation team in Esri-Colombia.

My research interests include spatial data analysis, data fusion methods, urban analytics and the science of movement. Learn more about my research interests and publications.

“Everything is related to everything else, but near things are more related than distant things”, Waldo R. Tobler
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Fernando Benítez-Páez

GIScience